Move Developer Instructions to the end of README

Author: MilagrosMarin

README.md

@@ -6,6 +6,7 @@ This document will guide you as a new DataJoint user through interactive tutoria
 
 *Please note that these hands-on DataJoint tutorials are friendly to non-expert users, and advanced programming skills are not required.* 
 
+
 ## Table of contents 
 - In the [tutorials](./tutorials) folder are interactive Jupyter notebooks to learn DataJoint. The calcium imaging and electrophysiology tutorials provide examples of defining and interacting with data pipelines. In addition, some fill-in-the-blank sections are included for you to code yourself!
     - 01-DataJoint Basics
@@ -20,6 +21,7 @@ This document will guide you as a new DataJoint user through interactive tutoria
     - DataJoint in 30min
     - University
 
+
 ## Key learnings from the tutorials
 
 After completing this set of tutorials, you will gain real experience in the basics of the DataJoint framework. These skills will allow you to design, implement and manage data pipelines effectively applied to your scientific research.
@@ -45,6 +47,7 @@ Here is a summary of the content that you can expect to have learned:
     - `.populate()` for automated computation
     - `.populate(reserve_jobs=True)` for parallelization
 
+
 ## Interactive Environment
 
 - These interactive DataJoint tutorials can be accessed through a cloud-based environment on [GitHub Codespaces](https://github.com/features/codespaces).  The following instructions will provide you with an environment that is configured with DataJoint for Python so that you can immediately begin to build and run a data pipeline.
@@ -60,21 +63,6 @@ Here is a summary of the content that you can expect to have learned:
 - *Tip*: GitHub auto names the Codespaces, but you can rename the Codespace so that it is easier to identify later.
 - *Tip*: All the edits you make in these tutorial notebooks are ***not persistent***.  Edits will be reset to the original content every time you restart the server.  However, you can easily commit the changes to your fork.
 
-## Developer Instructions
-- **Local environment**:
-   - Install the following:
-    - [Git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
-    - [Docker](https://docs.docker.com/get-docker/)
-      - On M1/M2 Mac:
-        - Enable Rosetta 2 on Docker advanced/experimental settings
-        - Ensure Rosetta is installed by typing `softwareupdate --install-rosetta` at a shell prompt
-        - `export DOCKER_DEFAULT_PLATFORM=linux/amd64` in .zshrc or at a shell prompt
-    - [Microsoft's Visual Studio Code (VS Code)](https://code.visualstudio.com/)
-    - VSCode [Dev Containers extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers).
-    - `git clone` your fork of the repository and open it in VSCode.
-    - Use the `Dev Containers extension` to `Reopen in Container`. (More info in the `Getting started` included with the extension.)
-    - To begin, navigate to the [tutorials](./tutorials) directory located in the left panel and proceed through the sequentially organized Jupyter notebooks. Execute the cells in the notebooks to begin your walkthrough of the tutorial.
-    - Once you are done, you can stop the container by closing the `VS Code` window.
 
 ## Documentation
 
@@ -84,11 +72,29 @@ Here is a summary of the content that you can expect to have learned:
 ## Support
 If you need help getting started or run into any errors, please open a GitHub Issue or contact our team by email at [email protected].
 
+
 ## Additional DataJoint Tutorials
 
 - DataJoint Elements is a collection of curated modules for assembling data pipelines for several modalities of neurophysiology experiments.
   - [Element Calcium Imaging Tutorial](https://github.com/datajoint/element-calcium-imaging#interactive-tutorial)
   - [Element Array Electrophysiology Tutorial](https://github.com/datajoint/workflow-array-ephys#interactive-tutorial)
 
 - [Machine Intelligence from Cortical Networks (MICrONS) program](https://www.microns-explorer.org/)
-  - [MICrONS Tutorial](https://github.com/datajoint/microns_phase3_nda#interactive-environment)
+  - [MICrONS Tutorial](https://github.com/datajoint/microns_phase3_nda#interactive-environment)
+
+
+  ## Developer Instructions
+- **Local environment**:
+   - Install the following:
+    - [Git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
+    - [Docker](https://docs.docker.com/get-docker/)
+      - On M1/M2 Mac:
+        - Enable Rosetta 2 on Docker advanced/experimental settings
+        - Ensure Rosetta is installed by typing `softwareupdate --install-rosetta` at a shell prompt
+        - `export DOCKER_DEFAULT_PLATFORM=linux/amd64` in .zshrc or at a shell prompt
+    - [Microsoft's Visual Studio Code (VS Code)](https://code.visualstudio.com/)
+    - VSCode [Dev Containers extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers).
+    - `git clone` your fork of the repository and open it in VSCode.
+    - Use the `Dev Containers extension` to `Reopen in Container`. (More info in the `Getting started` included with the extension.)
+    - To begin, navigate to the [tutorials](./tutorials) directory located in the left panel and proceed through the sequentially organized Jupyter notebooks. Execute the cells in the notebooks to begin your walkthrough of the tutorial.
+    - Once you are done, you can stop the container by closing the `VS Code` window.